Exact(1)
The supervising learning mechanism based on the stochastic gradient descent (SGD) method is applied to update the parameters of RBF NN.
Similar(7)
After this, the proposed MKCCA can be implemented in multiple types of learning, such as multi-view learning, supervised learning, semi-supervised learning, and transfer learning, with the reduced data.
The training process uses supervised learning.
IBM's Watson, for example, uses supervised learning.
Supervised learning algorithms are trained on the compressed feature space.
Supervised learning is used to train C and S layers.
Machine Learning based proposals fall into two categories, supervised learning [24, 56] and unsupervised learning [38].
Computational approaches to disease classification include cluster analysis and supervised learning techniques.
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